DocumentCode :
1488134
Title :
Simulating X-Band Interferometric Height in a Spruce Forest From Airborne Laser Scanning
Author :
Solberg, Svein ; Weydahl, Dan Johan ; Nasset, Erik
Author_Institution :
Norwegian Forest & Landscape Inst., As, Norway
Volume :
48
Issue :
9
fYear :
2010
Firstpage :
3369
Lastpage :
3378
Abstract :
The aim of this study is to use airborne laser scanning (ALS) data to simulate synthetic aperture radar interferometry (InSAR) elevation data [digital elevation model (DEM)] from the spatial distribution of scatterers. A Shuttle Radar Topography Mission X-band DEM data set and an ALS data set from a spruce-dominated forest area are used. A 3-D grid of voxels is made from the spatial distribution of ALS first echoes. The slant angle penetration rate of the SAR microwaves (PSAR) is simulated to be a function of the vertical ALS penetration rate (PALS), i.e., PSAR = PALS4. The InSAR DEM and heights above the ground are fairly well reproduced by the simulator. A total least squares regression model between the simulated and measured InSAR DEMs has an R2 value of 0.99 and a slope of 1 : 1. By subtracting the ALS-based terrain heights (digital terrain model), we obtained InSAR heights, which were reproduced with an R2 value of 0.78, a slope of 0.96, and a root-mean-square error of 2.3 m. With the simulator, it was demonstrated how a disturbance event would affect the InSAR height. Unfortunately, the relationship was curvilinear and concave, which means that the method is not very sensitive to weak disturbances. This might be partly overcome by using a more vertical incidence angle of the SAR microwaves. The simulator might be used for validation or ground truthing of the InSAR data, as well as gaining understanding of how vegetation changes affect the InSAR data.
Keywords :
digital elevation models; geophysical techniques; radar interferometry; remote sensing by laser beam; remote sensing by radar; synthetic aperture radar; topography (Earth); vegetation mapping; SAR microwaves; X-band interferometric height; airborne laser scanning; digital elevation model; digital terrain model; regression model; root-mean-square error; slant angle penetration rate; southeastern Norway; spruce forest; synthetic aperture radar interferometry; vegetation changes; vertical incidence angle; Digital elevation models; Diseases; Large-scale systems; Laser modes; Laser radar; Monitoring; Optical sensors; Remote sensing; Synthetic aperture radar interferometry; Vegetation mapping; Forest; interferometry; light detection and ranging; simulation; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2010.2046493
Filename :
5462964
Link To Document :
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